Erlangen, Germany

Friedrich-Alexander-Universität Erlangen-Nürnberg

Last checkedMay 15, 2026Last changedMay 15, 2026Review: Agent reviewedConfidence95%

Public JSON Change log Monthly report Citation rules Dataset access Analysis JSON Submit correction

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage6 reviewedEvidence-backed claims6Reviewed6Candidate0Official sources3Source languagedePublic JSON/api/public/v1/universities/friedrich-alexander-universitat-erlangen-nurnberg.json

Coverage score90/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence78%

Policy presence

Friedrich-Alexander-Universität Erlangen-Nürnberg has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.

UnclearMachine candidateConfidence78%Evidence5Sources1

Claim cl-fau-ki-guidelines-non-statutory Claim cl-fau-transparency-ai-use Claim cl-fau-ai-exams-individual-rules

AI disclosure

Friedrich-Alexander-Universität Erlangen-Nürnberg has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.

RequiredMachine candidateConfidence78%Evidence2Sources1

Claim cl-fau-transparency-ai-use Claim cl-fau-ai-exams-individual-rules

Coursework

Friedrich-Alexander-Universität Erlangen-Nürnberg has 1 source-backed public claim for coursework; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence77%Evidence1Sources1

Claim cl-fau-ai-teaching-responsible-use

Exams

Friedrich-Alexander-Universität Erlangen-Nürnberg has 5 source-backed public claims for exams; deterministic analysis status: required.

RequiredMachine candidateConfidence78%Evidence5Sources2

Claim cl-fau-ai-exam-permission Claim cl-fau-ki-guidelines-non-statutory Claim cl-fau-transparency-ai-use

Privacy and data entry

Friedrich-Alexander-Universität Erlangen-Nürnberg has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence77%Evidence1Sources1

Claim cl-fau-ai-privacy-data-handling

Academic integrity

Friedrich-Alexander-Universität Erlangen-Nürnberg has 4 source-backed public claims for academic integrity; deterministic analysis status: required.

RequiredMachine candidateConfidence78%Evidence4Sources2

Claim cl-fau-ai-exam-permission Claim cl-fau-transparency-ai-use Claim cl-fau-ai-exams-individual-rules

Approved tools

No source-backed public claim identifying approved or licensed AI tools is present in this profile.

The current public tracker record does not contain claim evidence that identifies institutionally approved, licensed, procured, or enterprise AI tools.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Named AI services

Friedrich-Alexander-Universität Erlangen-Nürnberg has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence77%Evidence1Sources1

Claim cl-fau-ai-privacy-data-handling

Teaching guidance

Friedrich-Alexander-Universität Erlangen-Nürnberg has 4 source-backed public claims for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence78%Evidence4Sources1

Claim cl-fau-ki-guidelines-non-statutory Claim cl-fau-transparency-ai-use Claim cl-fau-ai-exams-individual-rules

Research guidance

No source-backed public claim about research AI use is present in this profile.

The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Security and procurement

No source-backed public claim about AI security review or procurement is present in this profile.

The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Derived tool records0

No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.

Evidence-backed claims

6 reviewed evidence-backed public claim

Normalized value: ai_unless_expressly_allowed_is_unauthorized_aid

Last checked: May 15, 2026
Last changed: May 15, 2026

Original evidence

Evidence 1

Sofern künstliche Intelligenz nicht ausdrücklich erlaubt ist, stellt sie ein unzulässiges Hilfsmittel. Dies wiederum hat zur Folge, dass die Prüfung wegen Täuschung als nicht bestanden gilt.
Source: Prüfungen und Prüfungsämter

Localized display only

FAU says AI is an unauthorized aid unless expressly permitted, and the exam is failed for deception.

Source language: de
Snapshot hash: b3d4f2ad8f3529add9d21b765414e26ce1418bb58e495d1c3caa11d9d1574c12
Retrieved: May 15, 2026
Evidence locator: Allgemeine Informationen: Nutzung künstlicher Intelligenz bei Prüfungen

Normalized value: guidance_not_statute

Last checked: May 15, 2026
Last changed: May 15, 2026

Original evidence

Evidence 1

Die Leitlinien für KI in der Lehre an der FAU haben keinen Satzungscharakter. Lehr- und prüfungsbezogene Regelungen sind Teil der einzelnen Studien- und Prüfungsordnungen
Source: KI Leitlinien

Localized display only

FAU says the AI-in-teaching guidelines do not have statute character, and teaching/exam rules belong to individual study and examination regulations.

Source language: de
Snapshot hash: 97c612e558d264ce4b105b90e1298aec098442e498686fa9d2cacfd644457907
Retrieved: May 15, 2026
Evidence locator: Section before Downloads

Normalized value: course_rules_and_disclosure

Last checked: May 15, 2026
Last changed: May 15, 2026

Original evidence

Evidence 1

Lehrende sind verantwortlich für die klare Regelung des KI-Einsatzes in sämtlichen Lehraktivitäten, insbesondere in Prüfungen. Sie müssen für die Prüfungsszenarien in ihren Lehrveranstaltungen verbindliche Vorgaben festlegen
Source: KI Leitlinien

Localized display only

FAU says instructors are responsible for clear AI-use rules, especially in exams, and must set binding requirements for exam scenarios.

Source language: de
Snapshot hash: 97c612e558d264ce4b105b90e1298aec098442e498686fa9d2cacfd644457907
Retrieved: May 15, 2026
Evidence locator: Transparenz und Kennzeichnung

Normalized value: avoid_personal_confidential_data_in_ai

Last checked: May 15, 2026
Last changed: May 15, 2026

Original evidence

Evidence 1

Geben Sie keine personenbezogenen oder vertraulichen Informationen, insbesondere urheberrechtlich geschützte oder personenbezogene Daten, in KI-Systeme ein.
Source: KI Leitlinien

Localized display only

FAU says not to enter personal or confidential information, especially copyrighted or personal data, into AI systems.

Source language: de
Snapshot hash: 97c612e558d264ce4b105b90e1298aec098442e498686fa9d2cacfd644457907
Retrieved: May 15, 2026
Evidence locator: Verantwortung, Selbstbestimmung und Sicherheit

Normalized value: examiner_sets_and_communicates_ai_rules

Last checked: May 15, 2026
Last changed: May 15, 2026

Original evidence

Evidence 1

Prüfende müssen für jede Prüfung individuell festlegen und bekannt geben, ob und in welcher Form (KI-gestützte) Hilfsmittel genutzt werden dürfen, und diese Vorgaben den Studierenden eindeutig kommunizieren. In jedem Fall sind die verwendeten Hilfsmittel von den Studierenden offenzulegen.
Source: KI Leitlinien

Localized display only

FAU says examiners must set and communicate AI-aid rules for each exam, and students must disclose the aids used.

Source language: de
Snapshot hash: 97c612e558d264ce4b105b90e1298aec098442e498686fa9d2cacfd644457907
Retrieved: May 15, 2026
Evidence locator: Prüfungen

Normalized value: responsible_ai_teaching_guidance

Last checked: May 15, 2026
Last changed: May 15, 2026

Original evidence

Evidence 1

KI ermöglicht neue Lehr- und Lernformate, die sowohl Lehrenden als auch Studierenden erweiterte Möglichkeiten eröffnen. Sie kann interdisziplinäre Zusammenarbeit und eine zukunftsorientierte, vernetzte Lehr- und Lernkultur unterstützen, die die akademische Integrität wahrt und den didaktischen Mehrwert stärkt.
Source: KI Leitlinien

Localized display only

FAU says AI can support a connected teaching and learning culture that preserves academic integrity and strengthens didactic value.

Source language: de
Snapshot hash: 97c612e558d264ce4b105b90e1298aec098442e498686fa9d2cacfd644457907
Retrieved: May 15, 2026
Evidence locator: Gute Lehre (mit KI) als Innovationstreiber

Candidate claims

0 machine or needs-review claim

Official sources

3 source attribution

KI Leitlinien

lehre.fau.de

Source URL: https://www.lehre.fau.de/themen/ki-in-der-lehre/ki-leitlinien/
Snapshot hash: 97c612e558d264ce4b105b90e1298aec098442e498686fa9d2cacfd644457907

Leitlinien für Künstliche Intelligenz (KI) in der Lehre an der FAU Erlangen-Nürnberg

lehre.fau.de

Source URL: https://www.lehre.fau.de/files/2025/10/FAU_Leitlinien-KI-in-der-Lehre_Stand-September-2025.pdf
Snapshot hash: ff8eb0c093915a7298c3a12cfc60c702ef51e0be7a44dd044571fc50143d777b

Prüfungen und Prüfungsämter

fau.de

Source URL: https://www.fau.de/studium/studienorganisation/pruefungen/
Snapshot hash: b3d4f2ad8f3529add9d21b765414e26ce1418bb58e495d1c3caa11d9d1574c12

Last checkedMay 15, 2026Last changedMay 15, 2026Open change log

Open contribution paths Review workflow

Back to universities

Friedrich-Alexander-Universität Erlangen-Nürnberg

Record status

Policy profile

Policy presence

AI disclosure

Coursework

Exams

Privacy and data entry

Academic integrity

Approved tools

Named AI services

Teaching guidance

Research guidance

Security and procurement

AI tools

Evidence-backed claims

FAU's central exams page states that if AI is not expressly permitted in exams, especially written papers, it is an unauthorized aid and can lead to the exam being failed for deception.

FAU describes its AI-in-teaching guidelines as orientation and inspiration and states that they do not have Satzungscharakter; teaching and exam-related rules remain part of the individual study and examination regulations.

FAU guidance says instructors are responsible for clear AI-use rules in teaching activities, especially exams, and that students must disclose generative AI use according to the relevant course rules.

FAU guidance tells users to choose AI tools with data-protection compliance and not to enter personal, confidential, copyright-protected, or personal data into AI systems.

FAU's AI-in-teaching guidance says examiners must individually determine and announce whether and how AI-supported aids may be used, and students must disclose the aids used.

FAU frames generative AI as support for innovative teaching practices that can strengthen didactic value while preserving academic integrity.

Candidate claims

Official sources

KI Leitlinien

Leitlinien für Künstliche Intelligenz (KI) in der Lehre an der FAU Erlangen-Nürnberg

Prüfungen und Prüfungsämter

Change log

Corrections